Real-time image enhancement with efficient dynamic programming

Li, Guoliang; Rana, Mohammad N.A.; Sun, Jinhong; Song, Yinglei; Qu, Junle

doi:10.1007/s11042-020-09586-y

Cited by 8 publications

(3 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MATLAB version R2021b running on a laptop with Intel Core i5-8250u CPU operating at 1.60 GHz with physical memory of 8.00 GB was chosen to obtain the results. A comparison between the proposed method with the LIME [39] method and DYNENH [40] method has been made. A visual comparison between the results of "Wall", "Caps", "Portrait", "Barn", "Forest", "Airplane", "Lighthouse", and "Flower" is listed in Fig.…”

Section: Resultsmentioning

confidence: 99%

Enhancement of Low-Light Image using Homomorphic Filtering, Unsharp Masking, and Gamma Correction

Yin¹,

Subaramaniam²,

Shibghatullah³

et al. 2022

IJACSA

View full text Add to dashboard Cite

Now-a-days, a digital image can be found almost everywhere, and digital image processing plays a huge role in analyzing and enhancing the image so that it can be delivered in a good condition. Color distortion and loss of image details are the common problems that were faced by low-light image enhancement methods. This paper introduces a low-light image enhancement method that applied the concept of homomorphic filtering, unsharp masking, and gamma correction. The aim of the proposed method is to minimize the two problems stated while producing images of better quality when compared to the other low-light image enhancement methods. An objective evaluation was done on the proposed method, comparing the results produced by the enhanced method with other two existing low-light image enhancement methods. The results obtained showed the proposed method outshines the other two existing low-light image enhancement method in maintaining the image details and producing a natural looking image, achieving the lowest Mean Square Error (MSE) and Lightness Order Error (LOE) scores, and has the highest Features Similarity Index color (FSIMc), Features Similarity Index (FSIM), Structure Similarity Index (SSIM), and Visual information fidelity (VIF) scores. Future studies that should be made on this research are to implement dehaze and denoise functionality into the low-light image as well as enabling it to be applicable in real-time scenarios.

show abstract

Section: Resultsmentioning

confidence: 99%

Enhancement of Low-Light Image using Homomorphic Filtering, Unsharp Masking, and Gamma Correction

Yin¹,

Subaramaniam²,

Shibghatullah³

et al. 2022

IJACSA

View full text Add to dashboard Cite

show abstract

“…It perfectly presents science and technology and visual art, creates its own unique characteristics, occupies a place in the catering industry with a strong development speed, and is deeply loved by the audience. 11,12 Figure 1 shows the basic process of film and television product visualization: 3D animation is what we usually call 3D animation. The film and television industry develops with the development of computer technology and belongs to an emerging art industry.…”

Section: Overview Of 3d Animationmentioning

confidence: 99%

“…3D animation perfectly verifies this. It perfectly presents science and technology and visual art, creates its own unique characteristics, occupies a place in the catering industry with a strong development speed, and is deeply loved by the audience 11 , 12 Figure 1. shows the basic process of film and television product visualization:…”

Section: Computer-aided 3d Animation Image Design and Image Enhanceme...mentioning

confidence: 99%

(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

Zhang

2022

J. Electron. Imag.

View full text Add to dashboard Cite

Computer-aided technology is a system of personal confidential interaction between computer and users under the guidance of people. Due to the continuous development of computer technology, this technology has been used in many fields. Computer-aided design is the use of computer systems to assist designers in engineering or product design. It is a technology to achieve the best design effect. Three-dimensional (3D) animation is not limited by time and space. It uses various forms of expression to express complex and abstract program content, scientific principles, and abstract concepts in centralized and simplified forms. The creative feature of animation is that the author does not use the advanced 3D technology to present the real world to the audience. Here, we aim to study the 3D animation image design and image enhancement based on computer-aided technology, hoping to make the 3D animation more realistic and make the film and television picture clearer with the help of computer-aided technology. We expound the current situation of 3D graphics research. We analyze the current development of the 3D animation industry. We propose an extreme value constraint based on spatial variation and a convolution algorithm based on learning a ringing images. The experimental results show that after Retinex method processes the image, the matching feature points of the target image in the scale-invariant feature transformation algorithm are 55. The correct matching rate of feature points after homomorphic filtering is 0.85. The number of correct matching points of the image processed by Retinex method changes greatly, and the change of homomorphic filtering is small.

show abstract

A hue preserving uniform illumination image enhancement via triangle similarity criterion in HSI color space

et al. 2022

View full text Add to dashboard Cite

Real-time image enhancement with efficient dynamic programming

Cited by 8 publications

References 26 publications

Enhancement of Low-Light Image using Homomorphic Filtering, Unsharp Masking, and Gamma Correction

Enhancement of Low-Light Image using Homomorphic Filtering, Unsharp Masking, and Gamma Correction

(Retracted) Computer-aided three-dimensional animation design and enhancement based on spatial variation and convolution algorithm

A hue preserving uniform illumination image enhancement via triangle similarity criterion in HSI color space

Contact Info

Product

Resources

About